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Ai Research Engineer Jobs (NOW HIRING)

EnCharge AI

About the Role EnCharge AI is looking for an experienced AI Research Engineer to optimize deep learning models for deployment on edge AI platforms. You will work on model compression, quantization ...

PROPRIUS

AI Research Engineer

San Francisco, CA

AI Research Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Data Science Join a Fortune 500 at the top of its field and one that provides custom solutions to over 150,00 ...

Dropzone AI

AI Research Engineer

$200K - $250K/yr

About the role We are seeking a Senior to Principal-level AI Research Engineer to lead the design and development of next-generation agentic AI systems . This role sits at the intersection of ...

Embedding VC

AI Research Engineer

Mountain View, CA · On-site

$241K/yr

About this role We're hiring an AI Research Engineer. We're open to professionals with a few years of experience and ambitious new graduates. In this role, you'll work closely with our Chief AI ...

Cobot

AI Research Engineer

Seattle, WA · On-site

Our rapidly growing startup is seeking an AI Research Engineer to join our Foundational Models AI team. This role is ideal for researchers and builders who thrive at the intersection of machine ...

Normal Computing

AI Research Engineer

New York, NY · On-site

$300K - $400K/yr

Your Role in Our Mission: We're hiring an AI Researcher / AI Research Engineer to push the frontier of agentic LLMs and reinforcement learning for our agentic code generation tool, nectar. You'll ...

Accenture

AI Research Engineer

San Francisco, CA · On-site

$241K/yr

... AI research engineer with strong technical skills to join our applied R&D group in San Francisco. We are looking for someone who is both deeply curious about the business impact of technology and ...

Cogent Security

AI Research Engineer

San Francisco, CA · On-site

$100K - $300K/yr

As an AI Research Engineer, you will work at the frontier of automated reasoning and AI-driven code analysis - inventing novel solutions, prototyping fast, and pivoting when first ideas don't pan out.

Accenture

AI Research Engineer

San Francisco, CA · On-site

$241K/yr

... AI research engineer with strong technical skills to join our applied R&D group in San Francisco. We are looking for someone who is both deeply curious about the business impact of technology and ...

Duolingo

Staff AI Research Engineer

Pittsburgh, PA · On-site

We are looking for an experienced AI Research Engineer to join our Duolingo Monetization team. The ideal candidate will have a proven track record as an AI research engineer, with extensive ...

NICE

AI Research Engineer

Atlanta, GA · On-site

Primary Purpose As an AI Research Engineer, you are responsible for supporting and driving the use of AI tool sets to define, develop, manage, and improve NICE Enlighten AI's data solutions. In this ...

Meta

AI Research Engineer

Bellevue, WA

$183K/yr

We're hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You'll be embedded directly in Facebook's ecosystem, helping ...

Meta

AI Research Engineer

Menlo Park, CA

$183K/yr

We're hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You'll be embedded directly in Facebook's ecosystem, helping ...

Amperos Health, Inc

AI Research Engineer

New York, NY · On-site

$200K - $300K/yr

About the role As an AI Engineer on our research team, you'll work on our hardest research and AI infra problems. You'll both help prototype new products and also work on turning prototypes into a ...

Meta

AI Research Engineer

$183K/yr

We're hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You'll be embedded directly in Facebook's ecosystem, helping ...

Meta

AI Research Engineer

New York, NY

$183K/yr

We're hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You'll be embedded directly in Facebook's ecosystem, helping ...

Meta

AI Research Engineer

Menlo Park, CA · On-site

We're hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You'll be embedded d.

Meta

AI Research Engineer

New York, NY · On-site

We're hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You'll be embedded d.

Meta

AI Research Engineer

Bellevue, WA · On-site

We're hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You'll be embedded d.

Auzmor

Robotics & AI Research Engineer

Des Moines, IA · On-site

Robotics & AI Research Engineer Description Auzmor is redefining workforce training by seamlessly integrating human and robotic skill development to empower the hybrid workforce of tomorrow. As a ...

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Ai Research Engineer information

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How much do ai research engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for ai research engineer in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What does an AI Research Engineer do?

An AI Research Engineer designs, develops, and tests artificial intelligence models and algorithms. They work on advancing the state-of-the-art in machine learning, deep learning, and related fields, often collaborating with data scientists and software engineers. Their responsibilities typically include experimenting with new approaches, implementing prototypes, publishing research findings, and helping to integrate AI solutions into products or services. The role requires strong programming skills, a deep understanding of mathematics and statistics, and the ability to keep up with rapid advancements in AI technology.

What are the key skills and qualifications needed to thrive as an AI Research Engineer, and why are they important?

To thrive as an AI Research Engineer, you need strong expertise in mathematics, machine learning algorithms, programming (especially Python), and typically a graduate degree in computer science or a related field. Familiarity with deep learning frameworks like TensorFlow or PyTorch, experience using large datasets, and sometimes knowledge of cloud computing platforms are commonly required. Creativity, problem-solving abilities, and effective collaboration are crucial soft skills that distinguish top performers in this role. These skills and qualities are essential for developing innovative AI models, solving complex research problems, and contributing impactful solutions in a rapidly evolving field.

What are some common challenges AI Research Engineers face when transitioning research models into production environments?

AI Research Engineers often encounter challenges when moving models from research to production, such as ensuring scalability, optimizing for real-world data variability, and maintaining model performance under resource constraints. Additionally, integrating research models with existing systems and workflows can require close collaboration with software engineers and data engineers. Addressing issues like reproducibility, monitoring, and model retraining is crucial for long-term success in production settings. Proactive communication and a strong understanding of both research and engineering principles help overcome these hurdles.

What is the difference between Ai Research Engineer vs Data Scientist?

AspectAi Research EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with machine learning frameworksDegree in Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics teams, data-driven companies, consulting firms
Employer & Industry UsageTech companies, research institutions, AI startupsFinance, healthcare, marketing, e-commerce
Common Search & Comparison IntentUnderstanding roles in AI research and developmentAnalyzing data to inform business decisions

While both roles involve working with data and algorithms, Ai Research Engineers focus on developing new AI models and advancing AI technology, often in research settings. Data Scientists analyze and interpret complex data to help organizations make strategic decisions. The roles overlap in skills like programming and machine learning, but their primary goals and work environments differ.

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AI Research Engineer

EnCharge AI

Other

Posted just now

Job description

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge's robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today's best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

About the Role

EnCharge AI is looking for an experienced AI Research Engineer to optimize deep learning models for deployment on edge AI platforms. You will work on model compression, quantization strategies, and efficient inference techniques to improve the performance of AI workloads. 

Responsibilities

  • Research and develop quantization-aware training (QAT) and post-training quantization (PTQ) techniques for deep learning models.

  • Implement low-bit precision optimizations (e.g., INT8, BF16).

  • Design and optimize efficient inference algorithms for AI workloads, focusing on latency, memory footprint, and power efficiency.

  • Work with frameworks such as PyTorch, ONNX Runtime, and TVM to deploy optimized models.

  • Analyze accuracy trade-offs and develop calibration techniques to mitigate precision loss in quantized models.

  • Collaborate with hardware engineers to optimize model execution for edge devices, and NPUs.

  • Contribute to research on knowledge distillation, sparsity, pruning, and model compression techniques.

  • Benchmark performance across different hardware and software stacks.

  • Stay updated with the latest advancements in AI efficiency, model compression, and hardware acceleration. 

Qualifications

  • Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field.

  • Strong expertise in deep learning, model optimization, and numerical precision analysis.

  • Hands-on experience with model quantization techniques (QAT, PTQ, mixed precision).

  • Proficiency in Python, C++, CUDA, or OpenCL for performance optimization.

  • Experience with AI frameworks: PyTorch, TensorFlow, ONNX Runtime, TVM, TensorRT, or OpenVINO.

  • Understanding of low-level hardware acceleration (e.g., SIMD, AVX, Tensor Cores, VNNI).

  • Familiarity with compiler optimizations for ML workloads (e.g., XLA, MLIR, LLVM). 

EnchargeAI is an equal employment opportunity employer in the United States.

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